2013-2014 Graduating Senior Survey: Department of Statistics

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2013-2014 Graduating Senior Survey:
Department of Statistics

INSTRUCTIONS:

All graduating seniors in the Department of Statistics are being asked to complete this survey. The Department is very interested in your opinions, and believes that as a graduating senior you can provide it with useful information to help evaluate and improve its programs. We appreciate you taking the time to answer these questions.

To answer a question, click on the bubble for the answer you are choosing. Once you have answered all the questions, you must hit the SUBMIT button at the end of the form to submit your answers.

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3. If you could use any reference materials or software, indicate your level of confidence in your ability to complete each of the following tasks. Completely confident Somewhat confident Not very confident Could not
do it
a. Explain the method of least squares to a non-statistician.
b. Merge two large data sets (1000 observations) and check for errors in the programming or in the original data.
c. Estimate treatment means and standard errors for a randomized complete block design.
d. Design a randomized complete block experiment.
e. Design and implement a stratified random sample.
f. Analyze results of a survey from a stratified random sample.
g. Learn about a new statistical procedure that was not covered in any of your courses.
h. Explain the method of maximum likelihood estimation to a non-statistician.
  Completely confident Somewhat confident Not very confident Could not
do it
i. Using computer software, create a scatter plot of one variable against another variable with informative labels on each axis, a title and an appropriate legend.
j. Compute predicted values and standard errors for a quadratic regression model.
k. Explain the concept of a standard error of a regression coefficient.
l. Explain the concept of a confidence interval.
m. Write expressions for the expectation and variance of a random variable, given its probability density function or probability mass function.
n. Derive the maximum likelihood estimator of p, the probability of a success, in a binomial experiment.
o. Write a technical report or memo to a business person (e.g., colleague, supervisor, client) presenting the results of a statistical analysis you have completed.
p. Prepare and deliver a short (15-30 minute) presentation of a statistical analysis you have done, including creating visual aids (e.g., slides, poster, graphics).
q. Conduct a multiple regression analysis and interpret the results.

4. Which of the following statements best describes how well you think your grades generally match your expectations?

5. And which of the following statements best describes how well you think your grades generally match your ability?

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Thank you for your time and assistance!

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